v0.19

v0.19

Bugfixes

• Fixes a bug where lclip and/or rclip on mixture distribution were not working correctly.
• Fixes a bug where dist_fn did not work with np.vectorize functions.
• Fixes a bug where in-memory caching was invoked for bayesnet when not desired.

Caching and Multicore

• [Breaking change] bayesnet caching is now based on binary files instead of pickle files (uses msgspec as the underlying library).
• [Breaking change] sample caching is now based on numpy files instead of pickle files.
• A cache can now be loaded via sample(load_cache=cachefile) or bayesnet(load_cache=cachefile), without needing to pass the distribution / function.
• bayesnet and sample now take an argument cores (default 1). If greater than 1, will run the calculations on multiple cores using the pathos package.

Other

• Functions that take weights now can instead take a parameter relative_weights where waits are automatically normalized to sum to 1 (instead of erroring, which is still the behavior if using weights).
• Verbose output for bayesnet and sample is now clearer (and slightly more verbose).